Lead the development and implementation of advanced Marketing Mix Modeling (MMM) strategies within the IT Services sector.
Compensation
Compensation: ₹15-18 LPA
Responsibilities
Design and execute complex Marketing Mix Modeling frameworks to evaluate the effectiveness of various marketing channels.
Analyze Adstock effects and calculate channel-specific contribution metrics, including Return on Marketing Investment (MROI).
Develop and run incremental budget optimization scenarios to simulate potential outcomes and guide strategic financial planning.
Create high-quality, interactive visualizations using libraries such as Matplotlib, Seaborn, and Plotly to communicate insights to stakeholders.
Build, train, and validate robust statistical models, including regression, Bayesian, and hierarchical approaches, using Python, Pandas, NumPy, and Scikit-learn.
Own integrations that turn data from devices, carriers, and customer systems into reliable information teams can act on.
Compensation
Base salary is $140,000 to $180,000 annually, with equity and a cash bonus. Visa sponsorship is available.
Responsibilities
Build and operate ingestion pipelines for device telemetry, carrier milestones, and customer order data using APIs, webhooks, polling, files, and queues.
Map and normalize source data into shared shipment and telemetry models, with validation and quality checks throughout the pipeline.
Monitor pipeline health, build alerts and dashboards, and handle replays or backfills when data is late or incorrect.
Use partner API specifications and sample data to deliver new integrations.
Turn one-off integrations into reusable, configuration-driven pipelines.
Lead engineering on client integrations, architecting, developing, testing and enhancing integration frameworks with payroll, HR and WFM systems.
Compensation
Salary: Dependent on experience and seniority, ranging from £74,000 to £100,000, plus an equity vesting schedule in one of the world's fastest growing FinTechs.
Responsibilities
Architect, develop, and test code that integrates with third‑party payroll, HR and WFM systems
Support the onboarding of new clients by configuring them onto existing integration frameworks
Maintain and enhance the current integrations platform, driving broader system‑level optimisations
Lead research and development of large language models and reinforcement learning systems at SpaceXSI, driving end‑to‑end experiments and scaling studies.
Compensation
Annual Salary:
$220,000 - $357,000 USD
Responsibilities
Design and run rigorous experiments that turn research ideas into measurable gains in model capability
Improve data recipes through data quality, deduplication, and mixture experiments
Define what makes RL data and rewards good, including grader design and preventing reward hacking
Advance training science, from architecture and scaling experiments to post‑training recipes for coding and computer‑use agents
Build evals and targeted tasks that expose model weaknesses and guide where the team invests next
Requirements
MS or PhD in CS, ML, math, physics or a related field, or equivalent research experience
As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights. This is a full-stack product-engineering role.
Compensation
The annual compensation range for this role is listed below. Annual Salary: $140,000 - $225,000 USD
Responsibilities
Build and maintain the full-stack applications and infrastructure researchers rely on daily, covering experiment setup, feedback collection, and results analysis
Own complete product areas from user needs through design, implementation, and iteration, setting standards for how to build research applications
Create reusable platforms and tools that speed up new research applications, then prototype, ship, and iterate quickly based on real-world usage
Partner with research teams to turn their workflows and pain points into intuitive interfaces and abstractions that make complex research tasks fast and approachable
Requirements
Bachelor's degree in computer science, engineering, math, or scientific discipline
DATA ENGINEERNewVrinda International · Remote, India
Senior Data Integration EngineerNewClera-AI · Remote, US
Software Engineer - IntegrationsNewStream · London, United Kingdom
Sr Advisor I, Product ControlNewPhillips 66 · Houston, US
JUNIOR DATA ANALYSTNewBureau Veritas · Milano, Italy
Sr. Model EngineerNewCursor · Palo Alto, US